EP4769331A1 - Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild - Google Patents

Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild

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Publication number
EP4769331A1
EP4769331A1 EP24223190.0A EP24223190A EP4769331A1 EP 4769331 A1 EP4769331 A1 EP 4769331A1 EP 24223190 A EP24223190 A EP 24223190A EP 4769331 A1 EP4769331 A1 EP 4769331A1
Authority
EP
European Patent Office
Prior art keywords
bag
feature vectors
neural network
image
indicative
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP24223190.0A
Other languages
English (en)
French (fr)
Inventor
Rajiv Krishnakumar
Frederik Flöther
Julien BAGLIO
Nicole Romano
Christian Ruiz
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Quantumbasel Ag
Original Assignee
Quantumbasel Ag
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Quantumbasel Ag filed Critical Quantumbasel Ag
Priority to EP24223190.0A priority Critical patent/EP4769331A1/de
Priority to PCT/EP2025/086785 priority patent/WO2026139244A1/en
Priority to EP25817905.0A priority patent/EP4792308A1/de
Publication of EP4769331A1 publication Critical patent/EP4769331A1/de
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
EP24223190.0A 2024-12-24 2024-12-24 Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild Pending EP4769331A1 (de)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP24223190.0A EP4769331A1 (de) 2024-12-24 2024-12-24 Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild
PCT/EP2025/086785 WO2026139244A1 (en) 2024-12-24 2025-12-12 Computer-implemented method for detecting one or more defined objects from a plurality of single-object images obtained from a multi-object image, such as a scene image
EP25817905.0A EP4792308A1 (de) 2024-12-24 2025-12-12 Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP24223190.0A EP4769331A1 (de) 2024-12-24 2024-12-24 Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild

Publications (1)

Publication Number Publication Date
EP4769331A1 true EP4769331A1 (de) 2026-07-01

Family

ID=94116753

Family Applications (2)

Application Number Title Priority Date Filing Date
EP24223190.0A Pending EP4769331A1 (de) 2024-12-24 2024-12-24 Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild
EP25817905.0A Pending EP4792308A1 (de) 2024-12-24 2025-12-12 Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild

Family Applications After (1)

Application Number Title Priority Date Filing Date
EP25817905.0A Pending EP4792308A1 (de) 2024-12-24 2025-12-12 Computerimplementiertes verfahren zur erkennung eines oder mehrerer definierter objekte aus mehreren aus einem mehrobjektbild gewonnenen einzelobjektbildern, wie etwa einem szenenbild

Country Status (2)

Country Link
EP (2) EP4769331A1 (de)
WO (1) WO2026139244A1 (de)

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
BLACKARD ET AL.: "Comparative Accuracies of Artificial Neural Networks and Discriminant Analysis in Predicting Forest Cover Types from Cartographic Variables", COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 24, no. 3, pages 131 - 151
HAN ZHONGYI ET AL: "Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE, USA, vol. 39, no. 8, 21 May 2020 (2020-05-21), pages 2584 - 2594, XP011801690, ISSN: 0278-0062, [retrieved on 20200730], DOI: 10.1109/TMI.2020.2996256 *
LIU, J.PENG, H.ZHENG, N.: "EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention", CVPR, 2023
PATIL ABHIJEET ET AL: "Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning", 2019 IEEE INTERNATIONAL WIE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (WIECON-ECE), IEEE, 15 November 2019 (2019-11-15), pages 1 - 4, XP033729985, [retrieved on 20200228], DOI: 10.1109/WIECON-ECE48653.2019.9019916 *
RONNEBERGER, O.FISCHER, P.BROX, T.: "U-net: Convolutional networks for biomedical image segmentation", MICCAI, 2015
SASTRAWAHA SONGPON ET AL: "Ensemble Extreme Learning Machine for Multi-instance Learning", SUSTAINABILITY, SUCCESS AND IMPACT, ACM, 2 PENN PLAZA, SUITE 701NEW YORKNY10121-0701USA, 24 February 2017 (2017-02-24), pages 56 - 60, XP059919434, ISBN: 978-1-4503-5272-7, DOI: 10.1145/3055635.3056641 *
WANG PEIPEI ET AL: "Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine", IEEE ACCESS, IEEE, USA, vol. 8, 30 March 2020 (2020-03-30), pages 62458 - 62470, XP011782955, [retrieved on 20200410], DOI: 10.1109/ACCESS.2020.2984271 *
ZHANG HONGRUN ET AL: "DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification", 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 18 June 2022 (2022-06-18), pages 18780 - 18790, XP034195128, [retrieved on 20220927], DOI: 10.1109/CVPR52688.2022.01824 *

Also Published As

Publication number Publication date
WO2026139244A1 (en) 2026-07-02
EP4792308A1 (de) 2026-08-19

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